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Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193) - Ingo Glöckner
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Ingo Glöckner:

Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193) - Livro de bolso

2010, ISBN: 3642067433

Taschenbuch, [EAN: 9783642067433], Springer, Springer, Book, [PU: Springer], 2010-02-12, Springer, From a linguistic perspective, it is quanti?cation which makes all the di?- ence between… mais…

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Ingo Glöckner:

Fuzzy Quantifiers a Computational Theory 193 Studies in Fuzziness and Soft Computing - primeira edição

2002, ISBN: 9783642067433

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Ingo Glöckner:
Fuzzy Quantifiers - Livro de bolso

2006

ISBN: 3642067433

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Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) - Livro de bolso

2006, ISBN: 9783642067433

Springer Berlin Heidelberg, 2006. Paperback. New. 477 pages. 9.25x6.10x1.09 inches., Springer Berlin Heidelberg, 2006, 6

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Glöckner, Ingo:
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, 193) - Livro de bolso

2010, ISBN: 3642067433

[EAN: 9783642067433], Neubuch, [PU: Springer], Books

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Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193)

From a linguistic perspective, it is quanti?cation which makes all the di?- ence between "having no dollars" and "having a lot of dollars". And it is the meaning of the quanti?er "most" which eventually decides if "Most Ame- cans voted Kerry" or "Most Americans voted Bush" (as it stands). Natural language(NL)quanti?erslike"all","almostall","many"etc. serveanimp- tant purpose because they permit us to speak about properties of collections, as opposed to describing speci?c individuals only; in technical terms, qu- ti?ers are a 'second-order' construct. Thus the quantifying statement "Most Americans voted Bush" asserts that the set of voters of George W. Bush c- prisesthemajorityofAmericans,while"Bushsneezes"onlytellsussomething about a speci?c individual. By describing collections rather than individuals, quanti?ers extend the expressive power of natural languages far beyond that of propositional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like "tall", and they frequently refer to fuzzy quantities in agreement like "about ten", "almost all", "many" etc. In order to exploit this expressive power and make fuzzy quanti?cation available to technical applications, a number of proposals have been made how to model fuzzy quanti?ers in the framework of fuzzy set theory. These approaches usually reduce fuzzy quanti?cation to a comparison of scalar or fuzzy cardinalities [197, 132].

Dados detalhados do livro - Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193)


EAN (ISBN-13): 9783642067433
ISBN (ISBN-10): 3642067433
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer
480 Páginas
Peso: 0,719 kg
Língua: eng/Englisch

Livro na base de dados desde 2011-06-06T11:39:16+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2023-06-09T00:20:05+01:00 (Lisbon)
Número ISBN/EAN: 9783642067433

Número ISBN - Ortografia alternativa:
3-642-06743-3, 978-3-642-06743-3
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: glöckner, glock, glockner


Dados da editora

Autor: Ingo Glöckner
Título: Studies in Fuzziness and Soft Computing; Fuzzy Quantifiers - A Computational Theory
Editora: Springer; Springer Berlin
460 Páginas
Ano de publicação: 2010-02-12
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
164,99 € (DE)

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Extension; Fuzzy Quantifiers; Fuzzy Set Theory; Gloeckner; Linguistic Quantifiers; Natural Lanuage Processing; communication; construction; fuzzy; fuzzy set; logic; model; natural language; Mathematical and Computational Engineering Applications; Artificial Intelligence; Computational Linguistics; Künstliche Intelligenz; Computerlinguistik und Korpuslinguistik; BB

An Introduction to Fuzzy Quantification: Origins and Basic Concepts.- A Framework for Fuzzy Quantification.- The Axiomatic Class of Plausible Models.- Semantic Properties of the Models.- Special Subclasses of Models.- Special Semantical Properties and Theoretical Limits.- Models Defined in Terms of Three-Valued Cuts and Fuzzy-Median Aggregation.- Models Defined in Terms of Upper and Lower Bounds on Three-Valued Cuts.- The Full Class of Models Defined in Terms of Three-Valued Cuts.- The Class of Models Based on the Extension Principle.- Implementation of Quantifiers in the Models.- Multiple Variable Binding and Branching Quantification.- Discussion.

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